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The aim of this study is to examine research hotspots of MOOC in China.We conducted a keyword co-occurrence analysis of more than 6000 MOOC papers recorded in CNKI. The study reveals that there are five hotspots. In future, we should pay attention to the following aspects, including development strategy,...

In recent years, image dehazing has become an active topic in computer vision. This paper presents a novel dehazing method based on adaptive clustering and image fusion for restoring a single image degraded by fog or haze. Firstly, the coarse-scale transmission map is addressed based on adaptive clustering...

During the process of defect spot recognition among metal solder joint, if the defect spot is responsible characteristic within small region, the traditional identification method of metal solder joint defect spot is based on sparse representation, unable to express details of characteristics in small...

We extract the chaotic characteristics of multiple physiological signals in this paper, and the relevant algorithms for extracting chaotic characteristics are given respectively. Based on different algorithms we respectively calculate four kinds of chaotic characteristic parameters from multiple physiological...

This paper presents a terrain rendering technique for large, textured terrain, which uses Parallel-based error metric. In a preprocess, the domain was first tiled and computed into a nested geometric space error map based on geographic theory, taking the advantage to save displaying memory with terrain...

For solving effect and real-time performance problems of lunar surface image, the paper proposed an eliminating brightness differences algorithm of lunar surface image by correlation of color components fitting gray level map function. Feature points were obtained by matching in process image, which...

Focusing on the uncertainty of the environment, a grid map building method based on the multi ultrasonic sensors is provided. Firstly, the single ultrasonic sensor grid model is constructed by dividing the detected area into three regions. Then the evidences which are needed to fuse are self-adaptively...

To solve the estimator’s inconsistency in calculating the proposal distribution and the particles degeneracy phenomenon of the Rao-Blackwellized particle filter (RBPF), an improved method of RBPF based on fusing Precision laser pre-observation information particle swarm optimization (PSO) is proposed...

In order to avoid overheating due to bus power supply system that will cause major accidents, we need to monitor the temperature of high-voltage switch cabinet in the narrow space. This paper designs a wireless intelligent bus temperature measurement system based on Zigbee networks. The application of...

In recent years, Unmanned Aerial Vehicle(UAV) is widely used for power lines patrol. While it's more efficient than manually patrolling, the UAV may easily collide with power lines. So measures must be taken to detect the distance between UAV and power lines. This paper presents a real time power line...

All-sky autonomous star map identification has come up with higher requirement on calculating speed and storage space. Error caused by rotation and location noise influences the performance of star image identification algorithms. So various algorithms include procedure of rotating star image to the...

In the intelligent optical networks, there are two key problems in the long-distance and high-speed intensive service transmission. First one, the sharing scheduling problem of the optical networks resources, namely the privacy problem. Second problem, users of network services require high-quality,...

Mind mapping plays an important role in the learning and training English vocabulary, reading and writing English. In the learning of English through mind maps, a mind map with relevant learning content is to be drawn via the mind mapping software, but current graphics have many drawbacks and deficiencies....

Relevance vector machine (RVM), a sparse Bayesian kernel method in machine learning, has been well-known for its sparsity and probabilistic predictions. Like other kernel methods, it use the kernel functions to map the input instances into higher dimensional space for problem simplicity. At present,...

The main objective of this study is developing a linguistic cluster model in order to meet the public security index requirement and extract crime rule in time series. In contrast to the current studies in crime theory which mostly rely on traditional behavior science, we turned to a hybrid approach...

This paper presents a novel approach to natural scene segmentation. It uses both color and texture features in cooperation to provide comprehensive knowledge about every pixel in the image. A novel scheme for the collection of training samples, based on homogeneity, is proposed. Natural scene segmentation...

In this paper we present a novel dense matching algorithm that relies on sparse stereo data in order to build a dense disparity map. The algorithm uses a recursive updating scheme to estimate the dense stereo data using various interpolation techniques. The major problem of classical template matching...

The self-organizing map (SOM), as a kind of unsupervised neural network, has been applied for both static data management and dynamic data analysis. To further exploit its ability in search, in this paper, we propose an SOM-based search algorithm (SOMS) for dynamic systems, in which the SOM is employed...

In this paper, a progressive road analyzes using fuzzy technique is proposed. In this system, only the low cost GPS receivers are used. The road attribute and map are constructed only using the received data.

In this paper, we issue a hybrid system, which is integrated with the fuzzy system and Petri net models. We exploit the characteristics, imprecise or ambiguous information, of fuzzy theory to map the algorithm of crisp inputs and outputs, furthermore, model problems, product a nonlinear function, and...